README.md

metadata

license: apache-2.0
tags:
  - agi-forecast
  - pac-bayes
  - governance
  - agentic-ai
  - formal-verification
  - ai-governance
  - alignment
  - bekenstein
  - bayesian
  - lean4
size_categories:
  - n<1K
task_categories:
  - other
language:
  - en
pretty_name: AGI Forecast — Safety Forecasting Gauges Source

agi-forecast — FG-01..FG-12 AI Safety Forecasting Gauges

Source mirror of github.com/szl-holdings/agi-forecast. Forecasting models and scenario libraries for AI governance trajectories, grounded in PAC-Bayes stability bounds and Bekenstein information limits.

Signal	Value
Forecast gauges	FG-01 through FG-12
Scenarios	FG-S1 → FG-S4
Grounding	PAC-Bayes + Bekenstein
Benchmark	Putnam 2026-05-27
License	Apache-2.0

Cross-links

• Live viewer: SZLHOLDINGS/agi-forecast-viewer
• Platform: SZLHOLDINGS/agi-forecast-platform
• Source: github.com/szl-holdings/agi-forecast

Citation (BibTeX)

@misc{lutar2026ouroboros,
  title  = {Ouroboros: Formal Verification of Agentic AI Governance — v18.0},
  author = {Lutar, Stephen P.},
  year   = {2026},
  doi    = {10.5281/zenodo.20434276},
  url    = {https://doi.org/10.5281/zenodo.20434276}
}

Contact

Stephen P. Lutar · stephen@szlholdings.com

github.com/szl-holdings · huggingface.co/SZLHOLDINGS

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Doctrine v6 strict — no marketing superlatives — every claim verifiable.